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1)  Face Subspace
人脸特征子空间
2)  individual eigenface subspace
个体特征脸子空间
1.
An approach to face verification based on the integration of individual eigenface subspace and SVD is presented in which the wavelet transform is used to reduce the effect of expression on the face verification.
提出了一种个体特征脸子空间与奇异值特征相结合的人脸验证方法。
3)  double eigenface space
双特征脸空间
1.
In order to accelerate processing, we present an advanced method for face detection and recognition based on double eigenface spaces.
运算量是适时人脸检测和识别的关键,本文为此提出了一种基于双特征脸空间的识别系统。
4)  facial features
人脸特征
1.
Best Gabor filter design method of facial features detection;
人脸特征检测的最佳Gabor滤波器设计方法
5)  face feature
人脸特征
1.
Based on an analysis of the wavelet muhi2scale transform in target image,this paper puts forward a method that extracts face feature based on wavelet analysis and realized this method with MATLAB.
文章在研究了图像多尺度小波分析的基础上,提出了基于小波多尺度分解人脸特征提取的方法,并在MATLAB上实现了该算法。
2.
Provided frontal and side facial images and a general 3D polygonal facial mesh with face features, facial feature lines are fitted in the method based-on wavelet analysis.
给定特定人脸的正面侧面照片,以及内嵌具有人脸特征信息的弹性人脸网格模型,采用基于小波分析的方法进行人脸特征识别,基于特定人脸的特征线相对于一般人脸模型上的特征线的位移,根据弹性系数求解所有点的位移变化,适配特定人脸几何。
3.
The extraction of face features is an important part in the process of face automatic recognition.
人脸特征的自动提取是人脸自动识别过程中至关重要的一个环节。
6)  facial feature
人脸特征
1.
This paper describes a method for semi automatic facial feature tracking in video sequences.
文中提出一种跟踪人脸特征点的方法。
2.
The problem of facial feature detection and tracking, a key technology in face information processing, has recently emerged into an important subject in the fields of pattern recognition and computer vision.
人脸特征检测与跟踪作为人脸信息处理中的一项关键技术,近年来成为模式识别与计算机视觉领域一项受到普遍重视,研究十分活跃的课题。
3.
This thesis gives the future application of 3D face models and the present research; defines the facial feature points on the research of human face s character; researches on extracting facial feature points from h.
本文的主要研究内容包括: 1)人脸特征点定义。
补充资料:脸巴子
1.面颊。
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